Epidemiology and Control of Plant Diseases

doi:10.3390/books978-3-0365-6952-9

Download Url(s)

https://mdpi.com/books/pdfview/book/6961

Contributor(s)

Vitale, Alessandro (editor)

Language

English

Show full item record

Abstract

This reprint is intended for a broad readership of phytopathologists. It includes different scientific contributions focused on many crucial aspects, such as the identification, characterization and rapid detection of plant diseases; predictive models and deep learning networks; and ecofriendly measures for disease management.

URI

https://directory.doabooks.org/handle/20.500.12854/98908

Keywords

leaf wetness; temperatures; validation; Venturia oleaginea; Coniella diplodiella; environmental factors; infection pathway; inoculum dose; incubation; commercial seed lots; Capsicum annuum; epidemiology; source of infection; outbreak; pathway; plant disease management; Solanum lycopersicum; Pectobacterium parmentieri; qPCR; bacterial taxonomy; bacterial identification; sensitivity; soft rot; pathogen detection; wilt; passion fruit; Fusarium oxysporum species complex; Thielaviopsis punctulata; date palm; black scorch disease; multi-locus phylogeny; anatomy; biotic stress; catalase; early blight; paclobutrazol; peroxidase; phytopathogens; disease index; antifungal; chlorophyll content; LAMP; OEGV; Geminiviridae; olive viruses; Jute; disease detection; deep learning; YOLO-JD; image processing; climate change; diversity; food security; multi-gene phylogeny; new species; plant pathology; taxonomy; legumes; metabolomics; stress tolerance; metabolome annotation; organic vineyards; sustainable management; powdery mildew; gray mold; sour rot; postharvest quality; contamination; health; infection; molecular techniques; selection; n/a